Service Completion Time Research Articles

A DRL-Based Service Offloading Approach Using DAG for Edge Computational Orchestration

Edge infrastructure and Industry 4.0 required services are offered by edge-servers (ESs) with different computation capabilities to run social application's workload based on a leased-price method. The usage of Social Internet of Things (SIoT) applications increases day-to-day, which makes social platforms very popular and simultaneously requires an effective computation system to achieve high service reliability. In this regard, offloading high required computational social service requests (SRs) in a time slot based on directed acyclic graph (DAG) is an NP-complete problem. Most state-of-art methods concentrate on the energy preservation of networks but neglect the resource sharing cost and dynamic subservice execution time (SET) during the computation and resource sharing. This article proposes a two-step deep reinforcement learning (DRL)-based service offloading (DSO) approach to diminish edge server costs through a DRL influenced resource and SET analysis (RSA) model. In the first level, the service and edge server cost is considered during service offloading. In the second level, the R-retaliation method evaluates resource factors to optimize resource sharing and SET fluctuations. The simulation results show that the proposed DSO approach achieves low execution costs by streamlining dynamic service completion and transmission time, server cost, and deadline violation rate attributes. Compared to the state-of-art approaches, our proposed method has achieved high resource usage with low energy consumption.

Algorithm for ranking applications in QS with priorities in the agro-industrial sector

The study delves into the queuing process for warranty or post- warranty service requests in companies specializing in repairing electronic devices within the agro-industrial sector. The research also investigates the environmental implications of such operations and the environmental challenges related to servicing electronic devices in agricultural production. To streamline maintenance operations and cut costs, a logistic allocation approach for requests is proposed based on queuing systems theory principles. By analyzing workshop operations, a repair work performance scheme is developed, aligning with the specifics of agricultural production and environmental considerations in device maintenance. This has helped outline the primary requirements for the information system, creating diagrams that detail the sequence of processes for order addition, diagnostics, repair, spare parts ordering, and waste disposal. Using terminology from mass service systems, the workshop process is described, and an algorithm for preliminary time parameter calculations has been formulated to predict service completion dates. This methodology not only enables timely updates for customers regarding service completion times and the optimization of order routing through various channels, but it also contributes to addressing the adverse environmental impacts, a critical aspect in the organization of activities within the agricultural sector.

Implementasi Pembuatan Surat Izin Mengemudi Oleh Satuan Penyelenggara Administrasi Surat Izin Mengemudi Polisi Resor Kota Pagar Alam

The purpose of this research is to find out the standard operating procedure for making a driver's license. The implementation of standard operating procedures in public services is one way to realize good governance in public services. As well as the importance of order and smooth traffic in order to avoid traffic accidents that can result in death, injury or damage and loss of property. So Law no. 22 of 2009 concerning Road Traffic and Transportation that everyone who owns a motorized vehicle is required to have a driving license in accordance with the type of motorized vehicle being driven as a legitimacy of the driver's competence. This research method is a qualitative research method with descriptive analysis techniques. Techniques Data collection is done by interview, observation and documentation. Determination of informants based on purposive technique. For the aspect of completion time is less than the standard time set. The standard service completion time is two hours, but the implementation is less than two hours because there are several processes that are not carried out such as written tests and practical tests. The cost aspect of making a driving license is greater than the provisions stipulated in PP no. 50 of 2010 concerning PNBP. This is because of the system for making a Shooting Driver's License. For the aspect of competence of service providers as well as aspects of the completeness of facilities and infrastructure are sufficient.

Measuring the impact of public service innovation on user satisfaction

The purpose of this study was to measure the Community Satisfaction Index on the Pontianak Drive Thru Land Service (PERDANA) and to analyze the results of the level of community satisfaction on the PERDANA at the Pontianak City Land Office. This research uses quantitative research methods. Data collection techniques using questionnaires and documentation studies. The data analysis technique used is descriptive analysis. The results of this study indicate that the Community Satisfaction Index with Pontianak Drive Thru Land Services at the Pontianak City Land Office has been implemented properly with a high variable criterion of 89. The highest index value is 94 on the cost/tariff indicator. The lowest index value of 75 is on the Completion Time indicator. With the innovations that have been issued by the Pontianak City Land Office, it proves that the PERDANA gives satisfaction to the community. The Pontianak City Land Office can improve service quality in terms of service completion time such as being able to add PERDANA implementing officers in terms of correcting files online so that files can be corrected accurately and quickly and can maintain exchange system solutions (applicants provide physical files and officers provide Deposit Orders (Surat Perintah Setor/SPS)) so that there are no file arrears caused by applicants who have made payments but did not deliver physical files, and can improve service quality in terms of facilities, namely minimizing server downtime by updating the PERDANA website to an application that can be uploaded.

Optimizing Service Stipulation Uncertainty with Deep Reinforcement Learning for Internet Vehicle Systems

Fog computing brings computational services near the network edge to meet the latency constraints of cyber-physical System (CPS) applications. Edge devices enable limited computational capacity and energy availability that hamper end user performance. We designed a novel performance measurement index to gauge a device’s resource capacity. This examination addresses the offloading mechanism issues, where the end user (EU) offloads a part of its workload to a nearby edge server (ES). Sometimes, the ES further offloads the workload to another ES or cloud server to achieve reliable performance because of limited resources (such as storage and computation). The manuscript aims to reduce the service offloading rate by selecting a potential device or server to accomplish a low average latency and service completion time to meet the deadline constraints of sub-divided services. In this regard, an adaptive online status predictive model design is significant for prognosticating the asset requirement of arrived services to make float decisions. Consequently, the development of a reinforcement learning-based flexible x-scheduling (RFXS) approach resolves the service offloading issues, where x = service/resource for producing the low latency and high performance of the network. Our approach to the theoretical bound and computational complexity is derived by formulating the system efficiency. A quadratic restraint mechanism is employed to formulate the service optimization issue according to a set of measurements, as well as the behavioural association rate and adulation factor. Our system managed an average 0.89% of the service offloading rate, with 39 of delay over complex scenarios (using three servers with a 50% service arrival rate). The simulation outcomes confirm that the proposed scheme attained a low offloading uncertainty, and is suitable for simulating heterogeneous CPS frameworks.

Service Quality and Completion Time with Patient Trust

The hospital is a health service provider facility where the health quality determines satisfaction of patient which has an impact on patient trust in health facilities. This study aimed to determine the effect of service quality and turnaround time on patient trust. This research is a quantitative study with a cross sectional approach. The research location was at Mardi Waluyo Hospital, Blitar City, with an outpatients as the study sample. Data collection was carried out using a questionnaire which was then analyzed using SPSS. The results of linear regression test indicated there was a positive and significant impact on service quality (0,00<0,05) of turnaround time. Quality of service and turnaround time have a positive and significant effect (0,03 < 0,05). However, the completion time with the patient's trust does not have a positive and significant effect (0,19>0,05). Quality of service has a positive and significant effect on patient trust (0,00<0,05). The conclusion of this study showed that quality of servicesperformed at Mardi Waluyo Hospital, Blitar City was influenced trust of patient.

Procedure for Birth Registration Services for Children whose parents are not known at the Population Service and Civil Registration of Soppeng Regency

The Population and Civil Registration Office is a Regional Apparatus Organization established based on the Soppeng Regency Regional Regulation Number 5 of 2016. The purpose of this study was to determine the application of service procedures and factors supporting and inhibiting birth registration for children whose parents did not know about the Department of Population and Civil Registration of Soppeng Regency. The results showed that the application of birth registration service procedures for children whose parents did not know started from service procedures, completion time, service fees, service products, facilities and infrastructure, and competence of service providers has been carried out in accordance with Standard Operating Procedures and is categorized as good. This research can be used as a reference in the application of standard operating procedures for making birth certificates for children whose parents do not know at the Population and Civil Registration Office because previous studies have focused on legal guarantees and children's rights whose parents do not know about birth certificates

Management Services for Building Permits at the Investment Service and One-Stop Service in Bolaang Mongondow Utara Regency

This study aims to identify and describe the service for obtaining building permits (IMB) at the Investment and One-Stop Services Office in North Bolaang Mongondow Regency. Types of Qualitative research. Data analysis begins with the process of data reduction, data presentation, and drawing conclusions. The results of this study indicate that the service for managing building permits at the Investment Service and One-Stop Service in North Bolaang Mongondow Regency is not optimal and optimal, there are several problems, namely; socialization, service completion time, human resources (officers), PMPTSP service office facilities, especially building permits, so that needs to be addressed in order to provide more optimal service and meet community expectations.

New Selection Algorithm on Priority Service for Certification Queue Service Information System in BARISTRAND

Queue management for product certification of perishable goods is a major problem faced by the Surabaya Industrial Standardization and Research Institute (BARISTAND). The purpose of this study is to combine the use of the First in first out (FIFO), First Expired First Out (FEFO) and Least Shelf Life First Out (LSFO) methods into an automatic queuing system that can ensure effective service performance in queue management. This research was conducted using qualitative methods with observations to collect data and processes about how the product certification queue process flow at the Surabaya Industrial Standardization and Research Institute (BARISTRAN). The results show that the service only requires an average service completion time of 0.14 products per minute, meaning that every hour it can serve approximately 8.4 products. The conclusion of the research system has succeeded in determining the queue based on the use of the First in first out (FIFO), First Expired First Out (FEFO) and Least Shelf Life First Out (LSFO) methods, and customers can perform the tracking process to find out the certification process for the registered products.

Optimal admission control in queues with abandonments

We consider a multi-sever Markovian queueing system with abandonments where admitted customers pay a reward either at the time of arrival or service completion. There is a cost associated with abandonments and a holding cost associated with customers in the system. We prove that the policy that maximizes the long-run average reward is of threshold type and completely characterize the optimal thresholds. We conclude with a comparison of various characteristics of the two variants of the model.

Analisis Kepuasan Pasien Terhadap Pelayanan Kesehatan di RSUD Lahat Tahun 2021

Satisfaction is the response or level of feeling of the patient obtained after the patient receives a health service product by comparing the perceived performance or result with the patient's needs and expectations. This study aims to analyze patient satisfaction with health services at Lahat Hospital in 2021. This study was a quantitative study with a cross sectional approach. The sampling technique used stratified random sampling obtained a sample of 97 respondents. Data was collected using a questionnaire, then the data was analyzed using the chi square test with a significance level of p value <0.05. The data were also analyzed using logistic regression test to determine the dominant variables that affect patient satisfaction. The results of the Community Satisfaction Index (IKM) in the Outpatient Lahat Hospital in 2021 were 77.44 with a service quality of "B" and service performance "Good. The results of bivariate analysis showed that there was a relationship between service requirements and patient satisfaction (p=0.005), service procedures (p=0.000), service completion time (p=0.001). service fee (p=0.005), specification of service type (p=0.006), competence of service implementer (p=0.011), behavior of service provider (p=0.000), handling of complaints, suggestions and inputs, facilities and infrastructure (p=0.000). The results of multivariate analysis with logistic regression test showed that the most dominant variable was facilities and infrastructure (p=0.041) p value <0.05 with the largest OR value of 383.398. It is recommended to hospitals to further improve facilities and infrastructure so that patient satisfaction can increase

Implementasi Standar Pelayanan Program SAKTI di Kelurahan Bujel Kota Kediri

This study aims to describe and analyze the implementation of e-government services with the SAKTI program in Bujel Village in realizing excellent public services. This research focuses on Public Service Standards according to the Decree of the Minister of Administrative Reform No. 63 of 2003 which includes Service Procedures, Completion Time, Service Fees, Service Products, Facilities and Infrastructure, Competence of Service Providers. The research approach chosen in this research is descriptive qualitative research. The determination of the research location was based on the consideration that Bujel Village, Kediri City, was an active village in implementing e-Government compared to other villages in Bujel District, in addition to preliminary observations it was found that the SAKTI service experienced problems from the Dispenduk server so that various requests for certificate services could usually be made. online, while it can only be done by visiting the kelurahan office directly. The researchers determined the data sources in this study using a purposive sampling technique. The data collection technique used in this research is the method of interview, observation, and documentation. The data analysis technique used in this study is the data analysis technique of the Miles (2014) model which is also known as the interactive data analysis technique. Based on the results and discussion, the implementation of e-government services with the SAKTI program in the Bujel Village has been going well although there are still obstacles from the lack of socialization from the government, the SAKTI server error that makes the service process take a long time and the existing facilities and infrastructure at the Bujel Village Office be less than optimal, but it does not affect the quality of services provided. Services through the SAKTI program can still be done well.
 Keywords: Public Service, e-Government, Program Implementation

Parallel batch processing machines scheduling in cloud manufacturing for minimizing total service completion time

This paper considers the integrated scheduling problem of production and delivery on parallel batch processing machines with non-identical capacities in different locations in cloud manufacturing. It is assumed that the jobs have arbitrary release times, different job sizes, unequal processing times, and unique information of customers submitting jobs. The service completion time of a job is the sum of the production completion time and the delivery duration. The objective of the studied problem is to minimize the total service completion time. A mixed-integer programming (MIP) model is presented to solve this problem. Since the problem is NP-hard, an efficient heuristic algorithm and an improved particle swarm optimization algorithm are proposed. The two proposed algorithms are compared with several state-of-the-art algorithms and the commercial optimization solver (Gurobi) through extensive experiments, verifying the effectiveness of the proposed algorithms.

Simultaneous cooperation of Refrigerated Ground Vehicle (RGV) and Unmanned Aerial Vehicle (UAV) for rapid delivery with perishable food

With the growth of e-commerce, various types of last-mile delivery services have emerged to meet customer needs. Among the most notable of these are “rapid delivery” and “perishable food delivery” services. Owing to their advantages, the use of unmanned aerial vehicles (UAVs), which are both fast and inexpensive, has received considerable interest for rapid delivery. However, because of the inherent limitations of UAVs, they are used in conjunction with other ground vehicles. In contrast, maintaining freshness during delivery of perishable food is crucial for customer satisfaction and hygiene. Consequently, the cooperative operation of refrigerated ground vehicles (RGVs) with UAVs is necessary for rapid and fresh delivery services. RGVs can focus on the delivery of perishable foods and large-sized general products in such an operation, whereas UAVs can focus on small-sized general goods. In this study, the cooperative operation of RGVs and UAVs was investigated for the rapid delivery of perishable food. Mixed integer linear programming (MILP) was developed to derive optimal delivery schedules for RGVs and UAVs with the objective of minimizing the maximum service completion time of delivery vehicles. Additionally, an RGV-UAV route generating algorithm (R-U RGA) was presented to efficiently derive optimal, near-optimal, or qualified vehicle schedules when the MILP fails to derive optimal schedules in a reasonable time. The validity of the proposed MILP model was verified through a case study. The usefulness of the R-U RGA was confirmed through numerical experiments conducted on instances of various sizes. Additionally, numerical tests were performed to compare the benefits of the RGV-only delivery system and the proposed cooperative delivery system. These tests conducted in terms of economic, environmental, and service factors; they quantitatively elucidate the tradeoffs between the two systems.

Implementation of Light Rapid Transit Transport Infrastructure Development Policy on the Development of Mass Transport in Palembang

The purpose of this study is to describe and analyze the implementation of policies for the development of Light Rapid Transit (LRT) transportation infrastructure in Palembang City and analyze the factors that hinder the development of Light Rapid Transit (LRT) as mass transportation in Palembang City. The research method uses the constructivism paradigm through qualitative research approaches and types with data collection techniques through observation, interviews, and documentation. The main finding in this study is the implementation of light rail transportation infrastructure development policies towards the development of mass transportation in the city of Palembang within the scope of public service standards, there are 6 (six) scopes of public service standards that must be set at least covering the fulfillment of service procedures, completion time, cost services, service products, facilities and infrastructure as well as the competence of service providers, from 6 (six) factors there are 3 (three) factors of which have been fulfilled. The novelty/originality in this study is supported by the latest observational data and studies that support the improvement of the implementation of LRT development policies in realizing the role of mass transportation in Palembang.

Capacity allocation in a service system with preferred service completion times

AbstractRetailers use different mechanisms to enable sales and delivery. A relatively new offering by companies is curbside pickup where customers purchase goods online, schedule a pickup time, and come to a pickup facility to collect their orders. To model this service structure, we consider a service system where each arriving job has a preferred service completion time. Unlike most service systems that operate on a first‐come‐first‐serve basis, the service provider makes a strategic decision for when to serve each job considering their requested times and the associated costs. For most of our results, we assume that all jobs must be served before or on their requested time period, and the jobs are handled in overtime when capacity is insufficient. Costs are incurred both for overtime and early service. We model this problem as a Markov decision process. For small systems, we show that optimal capacity allocation policies are of threshold type and provide additional structural results for special cases. Building on these results, we devise two capacity allocation heuristics that use a threshold structure for general systems. The computational results show that our heuristics find near‐optimal solutions, and dependably outperform the benchmark heuristics even in larger systems. We conclude that there is a considerable benefit in using our heuristics as opposed to a very greedy or a very prudent benchmark heuristic, especially when the early service costs are not prohibitively high and the service capacity is scarce or there are high volumes of customer arrivals. Our results also demonstrate that as the length of the customer order horizon increases, performance of all heuristics deteriorate but the benefits of using our threshold heuristic remain considerable. Finally, we provide guidelines to select an appropriate solution method considering the trade‐off between solution quality and computation time.

On establishing and task scheduling of data-oriented vNF-SCs in an optical DCI

The development of network function virtualization (NFV) enables service providers to provision various network services with virtual network function service chains (vNF-SCs). However, most of the existing studies on the service provisioning of vNF-SCs address only the flow-oriented ones, while the provisioning schemes of data-oriented vNF-SCs, each of which needs to process and transfer bulk data through a series of vNFs before a preset deadline, have not been fully explored yet. Therefore, this paper studies how to jointly optimize the establishing and task scheduling of data-oriented vNF-SCs in an optical datacenter interconnection (DCI), such that the probability of scheduling data-oriented vNF-SCs to satisfy their deadlines can be maximized. To make the best use of the resources in the optical DCI for meeting each vNF-SC’s deadline, we leverage dynamic programming (DP) to propose two time-efficient algorithms with deadline-prioritized and conflict-aware approaches. Extensive simulations evaluate the performance of our proposed algorithms in different network scenarios, and confirm their effectiveness. Specifically, compared with a greedy-based benchmark, our DP-based algorithms can reduce the blocking probability of data-oriented vNF-SCs by up to two magnitudes and maintain similar service completion time.

Pelayanan Publik Perizinan Online di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Kota Pekalongan

Pekalongan City Investment and One Stop Integrated Service (DPMPTSP) Office launched an online-based licensing system called Sistem Perizinan Online, Ringkas, dan Ekonomis (SAKPORE) so that the people of Pekalongan City can take care of their business licensing online. Previously, licensing services still used a manual system which was feared to create increasing risk on data storage, such as corrupted data. The public also required to come to the office to obtain information about what requirements needed when submitting an application, which costs a lot of money, and to make it worse, lack of information about the processing timeframe are still persist in the whole process. Therefore, this study aims to determine the licensing services using the SAKPORE system. The type of research is empirical juridical with a qualitative approach. The data analysis method that being used is data reduction, data presentation, and drawing conclusions. The results conclude that the ease of applying for online licensing using the SAKPORE system at the Pekalongan City Investment and One Stop Integrated Service (DPMPTSP) can shorten service procedures, service completion time frame, and service completion costs.

Serving at the Edge: An Edge Computing Service Architecture Based on ICN

Different from cloud computing, edge computing moves computing away from the centralized data center and closer to the end-user. Therefore, with the large-scale deployment of edge services, it becomes a new challenge of how to dynamically select the appropriate edge server for computing requesters based on the edge server and network status. In the TCP/IP architecture, edge computing applications rely on centralized proxy servers to select an appropriate edge server, which leads to additional network overhead and increases service response latency. Due to its powerful forwarding plane, Information-Centric Networking (ICN) has the potential to provide more efficient networking support for edge computing than TCP/IP. However, traditional ICN only addresses named data and cannot well support the handle of dynamic content. In this article, we propose an edge computing service architecture based on ICN, which contains the edge computing service session model, service request forwarding strategies, and service dynamic deployment mechanism. The proposed service session model can not only keep the overhead low but also push the results to the computing requester immediately once the computing is completed. However, the service request forwarding strategies can forward computing requests to an appropriate edge server in a distributed manner. Compared with the TCP/IP-based proxy solution, our forwarding strategy can avoid unnecessary network transmissions, thereby reducing the service completion time. Moreover, the service dynamic deployment mechanism decides whether to deploy an edge service on an edge server based on service popularity, so that edge services can be dynamically deployed to hotspot, further reducing the service completion time.

A MAP/PH(1), PH(2)/2 Production Inventory System with Multiple Servers and Varying Service Rates

The paper comprises an (s,S) production inventory facility in which multiple vacations and varying service rates are considered for the multiple servers. The arrival of customers constitutes a Markovian Arrival Process (MAP) and service completion times follow the phase type distributions with representations ( α, S ) and ( β, T ) respectively. Manufacturing needs to begin at the moment when the stock position falls to s. Service is offered at a lower rate if the stock level ranges from 0 to s and the service time distribution has the representations (α, η 1 S) and (β, η 2 T ), 0 < η 1, η 2 < 1 respectively. If the stock level reaches the maximum S, production is ceased to operate. 1-limited service policy, Bernoulli service schedule, and Exhaustive service disciplines are considered for the servers. A suitable cost function is outlined as per performance assessment. The impact of negative correlated inter arrival times on cost function is illustrated. Also, a relative study of expected cost function on different service modes is presented.